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How to Use the Walmart Connect Ads MCP in Google ADK

Run complex Walmart Connect Ads operations using Google ADK for enterprise agents.

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Google ADK

Connect Walmart Connect Ads MCP to Google ADK

Create your Vinkius account to connect Walmart Connect Ads to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Running Complex Ad Performance Queries

The `ads_get_item_health_report` tool lets you generate a performance snapshot across dozens of dimensions, like 'attributedPurchases' or 'videoKeywords'. Because this is built for Google Cloud, it scales to handle massive datasets. You can also use `ads_get_keyword_performance`, filtering by campaign ID or ad group ID. This gives your agent granular control over specific keywords and their results.

MCP Server Management with BigQuery Context

Need to adjust spending? The `ads_update_daily_budget` tool handles setting budgets in dollars for any given campaign. Your agent can execute this update, knowing the context of your existing data in BigQuery. Want to pause a runaway ad set? Call `ads_pause_campaign`. It’s a direct action that stops spending on a Sponsored Search campaign immediately.

Ad Group and Keyword Optimization

The agent can create new organizational structures using `ads_create_ad_group`, making sure your campaigns are neatly segmented. For optimization, the `ads_add_keywords` tool is key; it takes a JSON array to add keywords, their match type (broad, phrase, exact), and bid amount. This makes setting up new search terms a single, reliable operation for your enterprise agent.

Setup guide

Set up Walmart Connect Ads MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Walmart Connect Ads tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Walmart Connect Ads_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Walmart Connect Ads tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Walmart Connect. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Walmart Connect Ads MCP in Google ADK

Use the `ads_get_cpc_metrics` tool. It fetches spend, impressions, and click totals for active campaigns. The output is useful for feeding into long-context models within Vertex AI.
Yes, the `ads_update_daily_budget` tool manages this. You provide a campaign ID and the new dollar amount, and your agent applies the change directly to the server.
The `ads_get_item_health_report` supports highly specific report types—you can target things like 'outOfBudgetRecommendations' or 'videoCampaigns.' This level of detail is perfect for BigQuery analysis.
Absolutely. The `ads_list_campaigns` tool provides a comprehensive list of every Sponsored Search campaign, with optional filters by name or ID to keep your query narrow.
The server interacts with advertising structured data, specifically handling keyword performance data and daily budget figures. The metrics retrieved are essential for financial modeling in BigQuery.

Start using the Walmart Connect Ads MCP today

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Built & Managed by Vinkius 30s setup 8 tools

We've already built the connector for Walmart Connect Ads. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 8 tools are live and waiting. You're up and running in seconds.

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